此次项目实战采用java爬虫爬取京东的数据放在es数据源中,然后通过页面来模拟京东搜索。
创建项目并引入相关pom依赖
相关文件:
implementation 'org.springframework.boot:spring-boot-starter-thymeleaf'
implementation 'org.springframework.boot:spring-boot-configuration-processor'
// https://mvnrepository.com/artifact/org.jsoup/jsoup
compile group: 'org.jsoup', name: 'jsoup', version: '1.13.1'
静态资源文件都可以从我的项目中直接拉取
package com.cxy.es.controller;
import com.cxy.es.service.JdService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import java.io.IOException;
/**
* @program: elasticSearch
* @description: 控制层
* @author: cuixy
* @create: 2020-07-18 10:20
**/
@Controller
public class IndexController {
@Autowired
JdService jdService;
//添加数据到es接口
@GetMapping("/insert/{keyword}")
@ResponseBody
public Boolean insertToEs(@PathVariable("keyword") String keyword) throws IOException {
return jdService.insertToEs(keyword);
}
/**
* 跳转首页
*
* @return
*/
@RequestMapping("/")
public String toIndex() {
return "index";
}
}
package com.cxy.es.service;
import com.cxy.es.entity.Content;
import com.cxy.es.utils.HtmlParseUtils;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.util.List;
/**
* @program: elasticSearch
* @description:
* @author: cuixy
* @create: 2020-07-18 11:19
**/
@Service
public class JdService {
@Autowired
RestHighLevelClient restHighLevelClient;
//批量插入使用jsoup查询到的数据
public Boolean insertToEs(String keyword) throws IOException {
List<Content> contents = HtmlParseUtils.parseJD(keyword);
//创建批量插入对象
BulkRequest bulkRequest = new BulkRequest();
ObjectMapper objectMapper = new ObjectMapper();
//封装数据
for (int i = 0; i < contents.size(); i++) {
bulkRequest.add(
new IndexRequest("jd_index")
.source(objectMapper.writeValueAsString(contents.get(i)), XContentType.JSON)
);
}
//发送请求进行数据插入
BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
return !bulk.hasFailures(); //返回结果是是否出现错误,插入成功则返回false,所以在此要取反
}
}
package com.cxy.es.entity;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
/**
* @program: elasticSearch
* @description: 京东商品实体类
* @author: cuixy
* @create: 2020-07-18 11:10
**/
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Content {
private String img;
private String title;
private String price;
}
package com.cxy.es.utils;
import com.cxy.es.entity.Content;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import org.jsoup.nodes.Element;
import org.jsoup.select.Elements;
import java.io.IOException;
import java.net.URL;
import java.util.ArrayList;
import java.util.List;
/**
* @program: elasticSearch
* @description: 爬取京东商品信息。
* @author: cuixy
* @create: 2020-07-18 11:08
**/
public class HtmlParseUtils {
public static void main(String[] args) throws IOException {
parseJD("java").forEach(System.out::println);
}
public static List<Content> parseJD(String keyWord) throws IOException {
//获取请求 https://search.jd.com/Search?keyword=java
String url = "https://search.jd.com/Search?keyword=" + keyWord;
//根据url解析网页 Jsoup返回的document对象就是javascript中的页面对象,所有在javascript中能够使用的方法在这里都能使用
Document document = Jsoup.parse(new URL(url), 30000); //第二个参数为最大连接时间,超时即报错
//通过document对象获取页面上的一部分元素
Element element = document.getElementById("J_goodsList"); //element是获取的商品列表的主要信息
//获取到所有的li元素,商品信息部分是用ul来装载的,所以要先获取到所有的li元素
Elements elements = element.getElementsByTag("li");
//通过li标签我们可以获取到每一个li标签中的商品信息,在此我们主要获取三个部分:图片地址,标题,价格
ArrayList<Content> contentList = new ArrayList<>();
for (Element el : elements) { //每一个el都是一个li
//获取图片地址,在此获取的并不是img的src属性,而是source-data-lazy-img属性
//原因是因为京东为了追求网页渲染的速度,会在图片渲染之前先渲染一个默认的页面,而真实的图片路径会放在source-data-lazy-img中进行懒加载
String img = el.getElementsByTag("img").eq(0).attr("src");
String title = el.getElementsByClass("p-name").eq(0).text();
String price = el.getElementsByClass("p-price").eq(0).text();
Content content = new Content(img, title, price);
contentList.add(content);
}
return contentList;
}
}
http://localhost:8080/insert/java 请求接口拉取数据,添加到es中。
数据有了之后,就是做数据展示,在此接口接收查询的关键字和分页的信息进行分页并带条件的查询:
Controller接口代码
//分页查询数据接口
@GetMapping("/search/{keyword}/{pageNo}/{pageSize}")
public List<Map<String, Object>> search(@PathVariable("keyword") String keyword,
@PathVariable("pageNo") int pageNo,
@PathVariable("pageSize") int pageSize) throws IOException {
return jdService.search(keyword, pageNo, pageSize);
}
service代码
//分页查询,高亮效果。
public List<Map<String, Object>> search(String keyword, int pageNo, int pageSize) throws IOException {
if (pageNo == 0) {
pageNo = 1;
}
//创建搜索对象
SearchRequest jd_index = new SearchRequest("jd_index");
//构建搜索条件
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//配置分页信息
searchSourceBuilder.from(pageNo);
searchSourceBuilder.size(pageSize);
//封装高亮显示条件
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.requireFieldMatch(true);//多个关键字高亮?
highlightBuilder.field("title"); //对哪个字段进行高亮
highlightBuilder.preTags("<span style='color:red'>"); //设置高亮前缀
highlightBuilder.postTags("</span>"); //高亮后缀
//构建搜索条件
TermQueryBuilder query = QueryBuilders.termQuery("title", keyword);
//封装搜索条件
searchSourceBuilder.query(query);
//封装高亮搜索条件
searchSourceBuilder.highlighter(highlightBuilder);
//封装搜索对象
jd_index.source(searchSourceBuilder);
//发送请求
SearchResponse search = restHighLevelClient.search(jd_index, RequestOptions.DEFAULT);
List<Map<String, Object>> list = new ArrayList<>();
for (SearchHit hit : search.getHits().getHits()) {
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField title = highlightFields.get("title"); //高亮之后的title
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); //未高亮之前的结果集
//接下来就是将高亮的title与结果集中未高亮的title进行替换
if (title != null) {
Text[] fragments = title.fragments();
String newTitle = "";
for (Text text : fragments) {
newTitle += text;
}
sourceAsMap.put("title", newTitle); //替换掉未高亮的title
}
list.add(sourceAsMap);
}
return list;
}
在项目中引入vue.min.js和axios.min.js文件:
<script th:src="@{/js/jquery.min.js}"></script>
<script th:src="@{/js/vue.min.js}"></script>
<script th:src="@{/js/axios.min.js}"></script>
修改页面信息,动态绑定搜索框的数据和搜索按钮的单击事件,实现单击搜索按钮就发送请求进行ES库的查询,并且使用v-for将查询结果进行遍历显示。
<!DOCTYPE html>
<html xmlns:th="http://www.thymeleaf.org">
<head>
<meta charset="utf-8"/>
<title>cxy-ES仿京东实战</title>
<link rel="stylesheet" th:href="@{/css/style.css}"/>
<script th:src="@{/js/jquery.min.js}"></script>
<script th:src="@{/js/vue.min.js}"></script>
<script th:src="@{/js/axios.min.js}"></script>
</head>
<body class="pg">
<div class="page" id="app">
<div id="mallPage" class=" mallist tmall- page-not-market ">
<!-- 头部搜索 -->
<div id="header" class=" header-list-app">
<div class="headerLayout">
<div class="headerCon ">
<!-- Logo-->
<h1 id="mallLogo">
<img th:src="@{/images/jdlogo.png}" alt="">
</h1>
<div class="header-extra">
<!--搜索-->
<div id="mallSearch" class="mall-search">
<form name="searchTop" class="mallSearch-form clearfix">
<fieldset>
<legend>天猫搜索</legend>
<div class="mallSearch-input clearfix">
<div class="s-combobox" id="s-combobox-685">
<div class="s-combobox-input-wrap">
<input type="text" v-model="keyword" autocomplete="off" id="mq"
class="s-combobox-input" aria-haspopup="true">
</div>
</div>
<button type="submit" @click.prevent="searchKey" id="searchbtn">搜索</button>
</div>
</fieldset>
</form>
<ul class="relKeyTop">
<li><a>Java</a></li>
<li><a>前端</a></li>
<li><a>Linux</a></li>
<li><a>大数据</a></li>
<li><a>理财</a></li>
<li><a>炒股</a></li>
</ul>
</div>
</div>
</div>
</div>
</div>
<!-- 商品详情页面 -->
<div id="content">
<div class="main">
<!-- 品牌分类 -->
<form class="navAttrsForm">
<div class="attrs j_NavAttrs" style="display:block">
<div class="brandAttr j_nav_brand">
<div class="j_Brand attr">
<div class="attrKey">
品牌
</div>
<div class="attrValues">
<ul class="av-collapse row-2">
<li><a href="#"> vue </a></li>
<li><a href="#"> Java </a></li>
</ul>
</div>
</div>
</div>
</div>
</form>
<!-- 排序规则 -->
<div class="filter clearfix">
<a class="fSort fSort-cur">综合<i class="f-ico-arrow-d"></i></a>
<a class="fSort">人气<i class="f-ico-arrow-d"></i></a>
<a class="fSort">新品<i class="f-ico-arrow-d"></i></a>
<a class="fSort">销量<i class="f-ico-arrow-d"></i></a>
<a class="fSort">价格<i class="f-ico-triangle-mt"></i><i class="f-ico-triangle-mb"></i></a>
</div>
<!-- 商品详情 -->
<div class="view grid-nosku">
<div class="product" v-for="res in results">
<div class="product-iWrap">
<!--商品封面-->
<div class="productImg-wrap">
<a class="productImg">
<img :src="res.img">
</a>
</div>
<!--价格-->
<p class="productPrice">
<em>{{res.price}}</em>
</p>
<!--标题-->
<p class="productTitle">
<a v-html="res.title"></a>
</p>
<!-- 店铺名 -->
<div class="productShop">
<span>店铺:xxx </span>
</div>
<!-- 成交信息 -->
<p class="productStatus">
<span>月成交<em>999笔</em></span>
<span>评价 <a>3</a></span>
</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
new Vue({
el: "#app",
data: {
keyword: "",//搜索条件
results: [] //返回结果集
},
methods: {
searchKey() {
let key = this.keyword;
console.log(key);
axios.get("search/" + key + "/1/10").then(result => {
console.log(result);
this.results = result.data;
})
}
}
})
</script>
</body>
</html>
完结撒花。